Case study · Learning Application
AI Speaking Feedback Tool
A live web application that provides structured feedback on spoken English using speech-to-text and AI analysis.
Role:Digital Learning Designer
Focus:AI, Speaking, Speech-to-text, Feedback
Platform:Learning Application
01 / Problem
The learning friction
Speaking practice is difficult to scale because students need frequent opportunities to speak and receive feedback.
02 / Approach
Design approach
Capture a spoken response, transcribe it, analyze it and return structured learner-facing feedback.
03 / Learning design
Learning-design considerations
For the speaking feedback application, the core challenge was scaling authentic speaking practice. The design prioritizes transcription accuracy and immediate, structured feedback delivery to reduce cognitive load while preserving the natural flow of conversation and encouraging repeated practice cycles.